EC3 - Sustainable Manufacturing and Industry 4.0

Sustainable Manufacturing and Industry 4.0 is a postgraduate course that focuses on how digital technologies such as AI, IoT, robotics and digital twins can be applied to create more sustainable and circular manufacturing systems. It introduces students to environmentally responsible production, lifecycle assessment, resource efficiency and human-centred, ethical approaches to industrial digitalisation. The course equips learners with the technical, analytical and strategic skills needed to design and manage intelligent manufacturing systems that balance efficiency, sustainability and social responsibility.

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Digital Manufacturing Design

Circular Production & Supply Chains

Strategic Leadership for Industrial Transformation

Your 13-Week Journey

Understanding sustainable manufacturing principles and lifecycle assessment for environmental impact evaluation.

Exploring ethics, worker well-being, and social sustainability in digitalised manufacturing systems.

Examining core Industry 4.0 technologies shaping intelligent and connected production systems.

Learning how digital tools, data, and automation transform traditional manufacturing processes.

Applying sensors, MES, and predictive maintenance for resource-efficient manufacturing.

Using simulation, digital twins, and automation to optimise factory layouts and operations.

Understanding how digital tools enable circular, transparent, and data-driven supply chains.

Exploring decentralised manufacturing models that enhance resilience and flexibility.

Assessing AI applications for quality prediction, optimisation, and circular manufacturing strategies.

Applying digital twins for real-time monitoring, optimisation, and circular system design.

Exploring human-centric, collaborative, and ethical technologies in advanced manufacturing.

Designing future factories that support regeneration, material recirculation, and biodiversity.

Understanding how international standards support interoperable, responsible manufacturing systems.

Week 1 — Systems in Transition

See the world in systems.

Learn to rethink linear vs circular economies and explore planetary boundaries.

Week 2 — The Digital–Circular Nexus

Discover how tech enables sustainability.

Explore how AI, IoT, and data power circular innovation.

Week 3 — Policy as Infrastructure

Understand Europe’s circular blueprint.

Dive into the EU Green Deal, CEAP, and Digital Europe frameworks.

Week 4 — Designing for Re-entry

Design for durability, reuse, and remanufacturing.

Learn how digital twins and simulation tools extend product lifecycles.

Week 5 — Tracking Resources Through Data

Follow materials in motion.

Understand how IoT and data infrastructures create transparency in supply chains.

Week 6 — Blockchain for Accountability

Trust through transparency.

Explore blockchain’s potential for tracking, verification, and ethical assurance.

Week 7 — Learning Loops with AI

Let data drive regeneration.

See how AI and machine learning enable adaptive circular decision-making.

Week 8 — Cognitive Factories

Meet the new industrial symbiosis.

Examine how robotics and smart manufacturing create circular production systems.

Week 9 — Reverse Intelligence

Close the loop through recovery.

Explore reverse logistics, digital disassembly, and resource recovery networks.

Week 10 — Measuring Circularity

Turn data into progress.

Use metrics, KPIs, and dashboards to track circular performance.

Week 11 — Financing the Regenerative Future

Empower innovation.

Discover how deep-tech, investment, and valuation models support circular ventures.

Week 12 — Ethics and Mindsets

Lead with responsibility.

Reflect on ethics, human–machine collaboration, and the competences for circular leadership.

Week 13 — 2040 and Beyond

Imagine the future you want to build.

Learn to rethink linear vs circular economies and explore planetary boundaries.